Case studies

See how our clients solved their business challenges with AI and Machine Learning.

CONCEPT VALIDATION OF AN AI-DRIVEN HOME CARE PLATFORM

For a home care company, we conducted a concept validation of an AI-driven home care platform. Our AI Product Blueprint process confirmed project viability and produced a detailed implementation roadmap. We developed a comprehensive AI implementation budget, providing cost estimation for full-scale development and deployment. The process culminated in a clickable prototype, completed after extensive stakeholder workshops, offering an interactive demonstration of the platform’s potential.

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AN AI-BASED VIRTUAL ASSISTANT THAT ACHIEVES ~50% REDUCTION IN MEETING ORGANIZATION TIME

For a client overwhelmed with emails and complex scheduling, we deployed an AI-based virtual assistant. It extracts crucial information from emails, analyzes their content, and presents an immediate overview of meeting statuses. By condensing lengthy, multi-threaded conversations into concise updates, our solution saved up to 50% of the time spent on scheduling meetings compared to manual methods.

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BUILDING SCALABLE MACHINE LEARNING INFRASTRUCTURE AT A MEAL-KIT DELIVERY

For a client struggling to track model performance, we deployed MLflow to organize models, compare approaches, and monitor metrics. We refactored code, optimized queries, and covered nearly 30% of the code with business logic validation tests, improving its reliability and scalability. We established clear short-term and long-term goals and implemented a collaborative sprint-based workflow, enabling the client’s engineering team to collaborate effectively and achieve business goals.

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DETECTING THE MOST ENGAGING CONTENT ON SOCIAL MEDIA

A solution that automatically detects the most engaging content from across the web for any given category based on a defined taxonomy.

A model for accuracy of popularity prediction model reaching over 0,7 (F1 score) when classifying the post to the specific category.

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AUTOMATED TV METADATA EXTRACTION

A solution that supports preparing TV program descriptions. We built a hybrid extraction method based on regular expressions, linguistic rules, and statistical language models, using dependency analysis to decompose templates.

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BETTER FACEBOOK ADS RETARGETING PERFORMANCE

A tool that reviews how specific target groups use Facebook. The algorithm analyzes the social network to glean information around what type of imagery a user group prefers. Then, it leverages the insights to deliver a hyper-specific look across different websites.

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